An empirical study for evaluating the performance of multi-cloud APIs

“…The same authors have recently expanded the work and published 'An empirical study for evaluating the performance of multi-cloud APIs' [10]. Again, the performance is measured, but in the expanded study two multi-cloud APIs are covered by adding the Apache Libcloud [11] library.…”

Section: Related Workmentioning

confidence: 99%

“…We argue that CM P 2 enables not only recomputation of results from single published works on multi-cloud management, but also eases comparisons between multiple such works assuming the authors publish sufficient details for independent reproducibility. To demonstrate the claim, we refer back to the related work on multi-cloud API performance evaluation [10]. Their work shows the performance of Jclouds, Libcloud and provider-specific libraries on storing files using AWS S3 and Azure, and in particular the Libcloud/Boto(both Python)/S3 combination in the 12th figure.…”

Section: Comparative Research Enablementmentioning

confidence: 99%

Systematic and Recomputable Comparison of Multi-cloud Management Platforms

Serhiienko

Spillner

2018

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

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With the growth and evolution of cloud applications, more and more architectures use hybrid cloud bindings to optimally use virtual resources regarding pricing policies and performance. This process has led to the creation of multicloud management platforms as well as abstraction libraries. At the moment, many (multi-)cloud management platforms (CMPs) are designed to cover the functional requirements. Along with growing adoption and industrial impact of such solutions, there is a need for a comparison and test environment which automatically assesses and compares existing platforms and helps in choosing the optimal one. This paper focuses on the creation of a suitable testbed concept and an actual extensible software prototype which makes multi-cloud experiments repeatable and reusable by other researchers. The work is evaluated by an exemplary comparison of 4 CMPs bound to AWS, showcasing standardised output formats and evaluation criteria.

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